from argparse import ArgumentParser

from . import BaseTransformersCLICommand


def 				lowerCAmelCase__       (			a__ )      ->Dict:




  '''simple docstring'''

  return DownloadCommand(args.model    ,     args.cache_dir    ,     args.force    ,     args.trust_remote_code )







class 					_UpperCAmelCase			(     lowerCAmelCase  ):



 '''simple docstring'''




 @staticmethod
 def 		__UpperCAmelCase				(		lowercase_				:   ArgumentParser)						->	str:


   """simple docstring"""







   _UpperCamelCase           =    parser.add_parser("download")
   download_parser.add_argument(
       "--cache-dir"							, type=lowercase_							, default=lowercase_							, help="Path to location to store the models")
   download_parser.add_argument(
       "--force"							, action="store_true"							, help="Force the model to be download even if already in cache-dir")
   download_parser.add_argument(
       "--trust-remote-code"							, action="store_true"							, help="Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"							, )
   download_parser.add_argument("model"							, type=lowercase_							, help="Name of the model to download")
   download_parser.set_defaults(func=lowercase_)







 def __init__(		self				:   List[str]							, lowercase_				:   str							, lowercase_				:   str							, lowercase_				:   bool							, lowercase_				:   bool)						->	Optional[Any]:


   """simple docstring"""







   _UpperCamelCase           =    model
   _UpperCamelCase           =    cache
   _UpperCamelCase           =    force
   _UpperCamelCase           =    trust_remote_code







 def 		__UpperCAmelCase				(		self				:   List[Any])						->	Any:


   """simple docstring"""







   from ..models.auto import AutoModel, AutoTokenizer

   AutoModel.from_pretrained(
       self._model							, cache_dir=self._cache							, force_download=self._force							, trust_remote_code=self._trust_remote_code)
   AutoTokenizer.from_pretrained(
       self._model							, cache_dir=self._cache							, force_download=self._force							, trust_remote_code=self._trust_remote_code)





from __future__ import annotations


def 				lowerCAmelCase__       (			a__    ,     a__ )      ->bool:




  '''simple docstring'''

  _UpperCamelCase           =    get_failure_array(a__ )

  # 2) Step through text searching for pattern
  _UpperCamelCase      ,						_UpperCamelCase           =    0, 0  # index into text, pattern
  while i < len(a__ ):
    if pattern[j] == text[i]:
      if j == (len(a__ ) - 1):
        return True
      j += 1

    # if this is a prefix in our pattern
    # just go back far enough to continue
    elif j > 0:
      _UpperCamelCase           =    failure[j - 1]
      continue
    i += 1
  return False


def 				lowerCAmelCase__       (			a__ )      ->list[int]:




  '''simple docstring'''

  _UpperCamelCase           =    [0]
  _UpperCamelCase           =    0
  _UpperCamelCase           =    1
  while j < len(a__ ):
    if pattern[i] == pattern[j]:
      i += 1
    elif i > 0:
      _UpperCamelCase           =    failure[i - 1]
      continue
    j += 1
    failure.append(a__ )
  return failure


if __name__ == "__main__":
   # Test 1)
   lowerCamelCase__  =					'''abc1abc12'''
   lowerCamelCase__  =					'''alskfjaldsabc1abc1abc12k23adsfabcabc'''
   lowerCamelCase__  =					'''alskfjaldsk23adsfabcabc'''
   assert kmp(pattern, texta) and not kmp(pattern, texta)

   # Test 2)
   lowerCamelCase__  =					'''ABABX'''
   lowerCamelCase__  =					'''ABABZABABYABABX'''
   assert kmp(pattern, text)

   # Test 3)
   lowerCamelCase__  =					'''AAAB'''
   lowerCamelCase__  =					'''ABAAAAAB'''
   assert kmp(pattern, text)

   # Test 4)
   lowerCamelCase__  =					'''abcdabcy'''
   lowerCamelCase__  =					'''abcxabcdabxabcdabcdabcy'''
   assert kmp(pattern, text)

   # Test 5)
   lowerCamelCase__  =					'''aabaabaaa'''
   assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]




